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AI 연구 논문 데일리
번역이 포함된 일일 선별된 AI 연구 논문
July 16th, 2024
Qwen2 기술 보고서
Qwen2 Technical Report
An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Zeyu Cui, Zhenru Zhang, Zhihao Fan
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Jul 15, 2024
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163
3
프라이버시 위험 완화를 위한 LLM의 거부 학습
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Wenliang Chen
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Jul 14, 2024
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32
4
GRUtopia: 대규모 도시에서의 꿈의 범용 로봇
GRUtopia: Dream General Robots in a City at Scale
Hanqing Wang, Jiahe Chen, Wensi Huang, Qingwei Ben, Tai Wang, Boyu Mi, Tao Huang, Siheng Zhao, Yilun Chen, Sizhe Yang, Peizhou Cao, Wenye Yu, Zichao Ye, Jialun Li, Junfeng Long, Zirui Wang, Huiling Wang, Ying Zhao, Zhongying Tu, Yu Qiao, Dahua Lin, Jiangmiao Pang
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Jul 15, 2024
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26
2
좋은 점, 나쁜 점, 탐욕스러운 점: LLM 평가는 비결정론을 무시해서는 안 된다
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
Yifan Song, Guoyin Wang, Sujian Li, Bill Yuchen Lin
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Jul 15, 2024
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25
4
Q-Sparse: 모든 대규모 언어 모델은 완전히 희소 활성화될 수 있다
Q-Sparse: All Large Language Models can be Fully Sparsely-Activated
Hongyu Wang, Shuming Ma, Ruiping Wang, Furu Wei
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Jul 15, 2024
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23
3
기초 자동 평가자: 더 나은 자동 평가를 위한 대형 언어 모델 활용
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung
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Jul 15, 2024
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15
8
Make-An-Agent: 행동 프롬프트 기반 확산 모델을 활용한 일반화 가능한 정책 네트워크 생성기
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu
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Jul 15, 2024
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11
2
DataDream: 소샷 가이드 데이터셋 생성
DataDream: Few-shot Guided Dataset Generation
Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata
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Jul 15, 2024
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10
2
향상된 동기화 기능을 갖춘 마스크 생성형 비디오-오디오 트랜스포머
Masked Generative Video-to-Audio Transformers with Enhanced Synchronicity
Santiago Pascual, Chunghsin Yeh, Ioannis Tsiamas, Joan Serrà
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Jul 15, 2024
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8
2
비디오 점유 모델
Video Occupancy Models
Manan Tomar, Philippe Hansen-Estruch, Philip Bachman, Alex Lamb, John Langford, Matthew E. Taylor, Sergey Levine
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Jun 25, 2024
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8
2
Spider2-V: 멀티모달 에이전트가 데이터 과학 및 엔지니어링 워크플로우 자동화까지 얼마나 다가갔는가?
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
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Jul 15, 2024
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7
2
LAB-Bench: 생물학 연구를 위한 언어 모델의 능력 측정
LAB-Bench: Measuring Capabilities of Language Models for Biology Research
Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, Michaela M. Hinks, Michael J. Hammerling, Siddharth Narayanan, Manvitha Ponnapati, Andrew D. White, Samuel G. Rodriques
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Jul 14, 2024
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6
2
SHERL: 리소스 제약이 있는 전이 학습을 위한 고정확도 및 효율적 메모리 통합
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning
Haiwen Diao, Bo Wan, Xu Jia, Yunzhi Zhuge, Ying Zhang, Huchuan Lu, Long Chen
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Jul 10, 2024
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6
2
MMM: 다국어 상호 강화 효과 혼합 데이터셋 및 오픈 도메인 정보 추출 대형 언어 모델 테스트
MMM: Multilingual Mutual Reinforcement Effect Mix Datasets & Test with Open-domain Information Extraction Large Language Models
Chengguang Gan, Qingyu Yin, Xinyang He, Hanjun Wei, Yunhao Liang, Younghun Lim, Shijian Wang, Hexiang Huang, Qinghao Zhang, Shiwen Ni, Tatsunori Mori
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Jul 15, 2024
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5
2
LLM 회로 분석은 훈련과 규모에 걸쳐 일관성을 유지한다
LLM Circuit Analyses Are Consistent Across Training and Scale
Curt Tigges, Michael Hanna, Qinan Yu, Stella Biderman
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Jul 15, 2024
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5
2
노이즈 보정: 사전 학습된 비디오 확산 모델을 활용한 플러그 앤 플레이 방식의 콘텐츠 보존형 비디오 향상
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models
Qinyu Yang, Haoxin Chen, Yong Zhang, Menghan Xia, Xiaodong Cun, Zhixun Su, Ying Shan
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Jul 14, 2024
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5
2